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Neuronal α-Bungarotoxin Receptors Are α7 Subunit Homomers

Open access
Drisdel, Renaldo C., Green, William N.·2000·The Journal of Neuroscience

Abstract

Nicotinic acetylcholine receptors in the nervous system are heterogeneous with distinct pharmacological and functional properties resulting from differences in post-translational processing and subunit composition. Because of nicotinic receptor diversity, receptor purification and biochemical characterization have been difficult, and the precise subunit composition of each receptor subtype is poorly characterized. Evidence is presented that α-bungarotoxin (Bgt)-binding nicotinic receptors found in pheochromocytoma 12 (PC12) cells are pentamers composed solely of α7 subunits. Metabolically labeled, affinity-purified Bgt receptors (BgtRs) consisted of a single 55 kDa band on SDS gels, which was recognized by anti-α7 antibodies on immunoblots. Isoelectric focusing separated the 55 kDa band into multiple spots, all recognized by anti-α7 antibodies and, therefore, each a differentially processed α7 subunit. Cell-surface BgtR subunits, cross-linked to each other and 125 I-Bgt, migrated on gels as a ladder of five bands with each band a multiple of an α7 subunit monomer. Similar characteristics of BgtRs from rat brain suggest that they, like PC12 BgtRs, are α7 pentamers containing differentially processed α7 subunits.

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Crossref · 10.1523/jneurosci.20-01-00133.2000

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Metadata

Authors
Drisdel, R. C., & Green, W. N.
Venue
The Journal of Neuroscience
Published
2000-01-01
Volume
20
Issue
1
Pages
133-139
ISSN
  • 0270-6474 (ISSN-L)
  • 1529-2401
OpenAlex
W1785917080
Cited by
215
References
2
FWCI
7.21
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Neuronal α-Bungarotoxin Receptors Are α7 Subunit Homomers. https://app.cochat.ai/papers/10.1523/jneurosci.20-01-00133.2000
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Drisdel, R. C., & Green, W. N. (2000). Neuronal α-Bungarotoxin Receptors Are α7 Subunit Homomers. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.20-01-00133.2000

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.